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Table 1

Selected and tested MOEA parameters

ComponentBest approachAlternative tested approachesMethodology used to test the different approaches
MOEA NSGA-II SPEA-II, IBEA, MOEAD, GD3, OMOPSO Hypervolume scores after 50,000, 60,000 and 40,000 iterations using parallelisation computing 
Selector Tournament selector Steady state, elitism selector  
Crossover Simulated binary crossover Cycle crossover, partially mapped crossover  
Mutation Flip bit, with probability shrink  
Population size 125 50, 100, 150, 175  
Number of generations
Mutation rate
Crossover rate 
50,000
0.3
0.5 
40,000, 60,000
0.1, 0.2, 0.4, 0.5
0.4, 0.6, 0.7 
 
ComponentBest approachAlternative tested approachesMethodology used to test the different approaches
MOEA NSGA-II SPEA-II, IBEA, MOEAD, GD3, OMOPSO Hypervolume scores after 50,000, 60,000 and 40,000 iterations using parallelisation computing 
Selector Tournament selector Steady state, elitism selector  
Crossover Simulated binary crossover Cycle crossover, partially mapped crossover  
Mutation Flip bit, with probability shrink  
Population size 125 50, 100, 150, 175  
Number of generations
Mutation rate
Crossover rate 
50,000
0.3
0.5 
40,000, 60,000
0.1, 0.2, 0.4, 0.5
0.4, 0.6, 0.7 
 
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